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Template-based Image Processing Toolkit for Android Phones

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Conference

2012 ASEE Annual Conference & Exposition

Location

San Antonio, Texas

Publication Date

June 10, 2012

Start Date

June 10, 2012

End Date

June 13, 2012

ISSN

2153-5965

Conference Session

NSF Grantees' Poster Session

Tagged Topic

NSF Grantees Poster Session

Page Count

15

Page Numbers

25.1270.1 - 25.1270.15

Permanent URL

https://peer.asee.org/22027

Download Count

31

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Paper Authors

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Santosh Chandana Golagani University of Texas, San Antonio

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Moosa Esfahanian University of Texas, San Antonio

biography

David Akopian University of Texas, San Antonio

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David Akopian is an Associate Professor at the University of Texas, San Antonio (UTSA). He joined the UTSA in 2003 where he founded the Software Communication and Navigation Systems Laboratory. He received the M.Sc. degree in radio-electronics from the Moscow Institute of Physics and Technology in 1987 and Ph.D. degree in electrical engineering from the Tampere University of Technology (TUT), Finland, in 1997. From 1999 to 2003, he was a Senior Engineer and Specialist with Nokia Corporation. Prior to joining Nokia in 1999, he was a member of teaching and research staff of TUT. His current research interests include digital signal processing algorithms for communication and navigation receivers, mobile applications, and learning methods. He authored more than 30 patents and 100 publications.

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Can Saygin University of Texas, San Antonio

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Can (John) Saygin is an Associate Professor of mechanical engineering and a research investigator in the Center for Advanced Manufacturing and Lean Systems (CAMLS) at the University of Texas, San Antonio (UTSA). He is also the Director of the Interactive Technology Experience Center (iTEC) and the Director of the Manufacturing Systems and Automation (MSA) Laboratory. He received his B.S. (1989), M.S. (1992), and Ph.D. (1997) degrees in mechanical engineering with emphasis on manufacturing engineering from the Middle East Technical University, Ankara in Turkey. In his academic career, he worked at the University of Toledo (1997-1999) and the Missouri University of Science and Technology (formerly University of Missouri, Rolla) (1999-2006) before joining UTSA in Aug. 2006. For more, please visit http://engineering.utsa.edu/~saygin/.

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Abstract

Template-based Mobile Platform Image Processing TrainingOver the last decade, mobile technology has achieved great momentum. Today, mobile phonesare the most widely used portable technologies in the world capturing newer markets worldwideand expanding existing markets with rapid advancements. The latest hand-held devices calledsmart-phones are equipped with superior memory, processing capabilities and multimediafeatures. With many young students showing interest in learning mobile applicationdevelopment, conventional undergraduate education cannot meet the needs of this workforce dueto complexity of development tools.The objective of this paper is to implement and demonstrate the novel concept of template-basedundergraduate education in wireless application development. The training material will becomposed of educational modules which can be incorporated either in conventionalcommunication technology courses, or offered as components of independent-study or “SeniorDesign” courses. The approach will help to overcome course-load constraints peculiar to currentengineering undergraduate programs. The following materials and strategies will be addressed.(1) An educational wireless application library for cell-phones will be developed where eachapplication can serve as a template for students to develop their own projects; the associatedlearning materials will help students to understand the process of developing, compiling andembedding applications in phones.In this paper, an image processing educational tool-box is implemented in Android platformusing JAVA technology as this platform is open source and thus widely available for alldevelopers. A user interface is developed to facilitate students to analyze the image processingtechniques by making certain modification in the pre-existing code of digital image processing(DIP) concepts rather than developing applications from scratch. Practical training is providedfrom design, implementation, verification and deployment on Android devices. Students will beattracted towards learning mobile SDKs and developing their own applications. Learningsessions are offered in class setting; student attitude surveys are collected and analyzed to verifythe efficiency of the approach.

Golagani, S. C., & Esfahanian, M., & Akopian, D., & Saygin, C. (2012, June), Template-based Image Processing Toolkit for Android Phones Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. https://peer.asee.org/22027

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